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Wrecking Ball
42
🔥 PRO

Wrecking Ball

The Stock Crash Surgeon

🔨 Swing Trader (Oracle-Derived) 📅 0 years old (Born 2026)

"Stocks crash differently than crypto. Slower, shallower, but the bounces are just as inevitable. PDT rules? They actually help — forced holds capture the full recovery."

A battle-hardened trader in a Wall Street suit with rolled-up sleeves, surrounded by screens showing red candles turning green. Carries a wrecking ball pendant — a reminder that destruction creates opportunity.

ℹ️ Character descriptions are creative personas representing trading strategy styles. They are not financial advice, promises, or guarantees of performance.

May 21, 2026 Jun 21, 2026 (31d)

📊 Last Month Performance: Showing Wrecking Ball's performance over the last month across 44 symbols. 🟢 LIVE

$23,345
Avg Value (per symbol)
Started at: $23,804 ($-459)
-1.93%
Last Month ROI
40.4%
Win Rate
149
Total Trades

Quick Performance Comparison

Click any period to view detailed stats

-1.9%
1 Month
+4.3%
3 Months
+12.3%
6 Months
+9.7%
YTD
+33.8%
1 Year

Equity Curve (Last Month)

Combined P&L across all 44 symbols

⚙️ Trading Strategy

Buy stock momentum crashes, hold 1-3 days (PDT-compliant swing), no stops

Monitors 1-hour momentum across 44 validated stocks. When momentum drops below a stock-specific threshold (-1% to -4.5%), enters a full position. Holds for a fixed period (1-3 days depending on stock). No stop losses — backtesting proved time-based exits outperform. PDT-compliant: 95%+ of trades are swing trades (overnight holds).

🎯 Best Suited For

Stock crash bounces — 44 validated Tier 1 equities, PDT-compliant swing trades (avg hold 2-3 days)

"Wall Street panics in slow motion. That's where the money is."

📜 Why This Strategy Works

After severe intraday momentum crashes in stocks, forced sellers (margin calls, stop-loss cascades, algorithmic de-risking) create temporary dislocations. The bounce is statistical — institutional buyers step in within 1-3 days. PDT rules are actually BENEFICIAL: forced overnight holds capture the full mean reversion (+31.8% avg swing return vs +8.7% day trade return in backtesting).

Mathematical Formula

CODE VERIFIED — These formulas are extracted directly from the simulation engine and verified against the source code.
Source: scripts/run-*-simulation.php

📊 Entry Signal (Momentum Crash)

📈 Entry Signal (Momentum Crash)

1-hour momentum < stock-specific threshold (e.g., PLTR < -3.5%, GOOGL < -2.0%, NVDA < -2.0%)
→ BUY at current price

📉 Exit Conditions

• TIME_EXIT: Hold for stock-specific period (1day, 2day, 3day, or 2h for COIN)
• PDT COMPLIANT: 95%+ of exits are swing trades (overnight holds)
• NO STOP LOSS — backtesting proved stops hurt performance
• NO PROFIT TARGET — let time-based exit capture full bounce
• COOLDOWN: Wait 0-4 hours after exit before re-entering same stock

⚙️ Simulation Parameters

FEE_PCT: 0%
ROUND_TRIP_FEE: 0
BARS_PER_HOUR: 12
PDT_MAX_DAY_TRADES: 3
PDT_ROLLING_DAYS: 5
MARKET_OPEN: 9:30 AM ET
MARKET_CLOSE: 4:00 PM ET
STOCKS_VALIDATED: 44
TOTAL_SIMULATIONS: 9504

📖 Historical Origin

Origin: Oracle Methodology adapted for US equities — PDT-compliant crash-bounce strategy validated across 44 Tier 1 stocks with 9,504 simulations

Born February 2026 from the Oracle Methodology. After Crasher proved crash-bounce works in crypto, we adapted it for US equities with PDT compliance. Screened 102 stocks → identified 44 natural crash-bouncers → ran 216-combo sweep per stock (9,504 total simulations). Key discovery: PDT-forced swing trades actually OUTPERFORM day trades by +23.1% on average. 44/44 stocks profitable at best combo.

🏆 Top 10 Performing Symbols (Last Month)

📉 Worst 5 Performing Symbols (Last Month)

📊 All Symbol Results

Click on any row to see detailed trade history with equity curve

📅 Last Month: May 21, 2026 Jun 21, 2026 (31 days)
📖 Understanding Score & Momentum columns
📊 Score — Lifetime Quality Score
Measures how well this strategy+symbol combination has performed across the entire simulation history. Based on return, win rate, drawdown control, profit factor, and trade count. Higher is better.
75+ Elite   60+ Good   40+ Fair   <40 Weak
⚡ Mom — 30-Day Momentum Score
Measures performance over the last 30 days only. Same quality model but calibrated for short-term activity. Captures recent regime shifts that the lifetime score may miss.
75+ Hot   60+ Active   40+ Moderate   <40 Quiet
Spread Indicators — Comparing Mom vs Score reveals regime sensitivity:
🔥 Heating Up — Mom is 20+ points above Score. This symbol is performing significantly better recently than its lifetime average. Could indicate a favorable regime shift.
🧊 Cooling Off — Mom is 20+ points below Score. This symbol is underperforming recently despite a strong lifetime track record. Could indicate an unfavorable regime shift.
No icon = Steady — Scores within ±20 points. Consistent performance.
⚠️ Scores are calculated from simulated backtest data and are for informational purposes only. They do not constitute financial advice or predict future performance. Full methodology →
Rank Symbol Score Mom Return 1M Start Final Value Trades Win Rate Fees Net Max DD Avg Hold Refunds Last Refund Action
1 HOOD 🔥 PRO 76 61 +28.11% $101,408 $129,914 6 50% - +$28,506 -0.0% 0.0h -
2 MU 83 29🧊 +13.94% $63,578 $72,441 4 75% - +$8,863 -0.0% 0.0h -
3 IBM 59 31🧊 +12.71% $14,723 $16,594 6 50% - +$1,871 -0.0% 0.0h -
4 AVGO 76 35🧊 +9.90% $48,768 $53,596 5 60% - +$4,828 -0.0% 0.0h -
5 MS 53 55 +8.93% $12,595 $13,720 9 67% - +$1,125 -0.0% 0.0h -
6 HD 66 37🧊 +8.07% $15,148 $16,370 3 67% - +$1,222 -0.0% 0.0h -
7 BAC 65 39🧊 +7.82% $15,657 $16,881 3 100% - +$1,224 -0.0% 0.0h -
8 AXP 67 31🧊 +4.77% $14,715 $15,417 7 43% - +$702 -0.0% 0.0h -
9 TSLA 73 17🧊 +4.00% $32,978 $34,297 4 50% - +$1,319 -0.0% 0.0h -
10 VRTX 63 18🧊 +2.51% $14,861 $15,234 5 60% - +$373 -0.0% 0.0h -
11 TMO 63 +1.94% $15,198 $15,493 2 50% - +$295 -0.0% 0.0h -
12 IWM 64 9🧊 +1.80% $14,942 $15,211 3 33% - +$269 -0.0% 0.0h -
13 BRK-B 62 +1.62% $14,304 $14,536 2 100% - +$232 -0.0% 0.0h -
14 MCD 33 +1.38% $11,960 $12,125 1 100% - +$165 -0.0% 0.0h -
15 CRWD 73 13🧊 +0.83% $31,744 $32,008 8 50% - +$263 -0.0% 0.0h -
16 NVDA 71 1🧊 +0.06% $36,759 $36,781 4 25% - +$22 -0.0% 0.0h -
17 JNJ 69 4🧊 +0.04% $15,259 $15,265 4 50% - +$6 -0.0% 0.0h -
18 TLT +0.00% $10,209 $10,209 NO ENTRY - - - -0.0% 0.0h -
19 PG +0.00% $11,524 $11,524 NO ENTRY - - - -0.0% 0.0h -
20 VOO +0.00% $12,784 $12,784 NO ENTRY - - - -0.0% 0.0h -
21 SPY +0.00% $12,931 $12,931 NO ENTRY - - - -0.0% 0.0h -
22 VTI 41 +0.00% $13,587 $13,587 NO ENTRY - - - -0.0% 0.0h -
23 PFE 41 +0.00% $13,154 $13,154 NO ENTRY - - - -0.0% 0.0h -
24 DIA 53 -0.79% $12,862 $12,761 2 50% - -$102 -0.0% 0.0h -
25 LLY 67 3🧊 -1.03% $18,608 $18,416 4 50% - -$192 -0.0% 0.0h -
26 AMGN 50 3🧊 -1.13% $13,616 $13,462 4 50% - -$154 -0.0% 0.0h -
27 TQQQ 75 -1.40% $47,113 $46,453 2 50% - -$660 -0.0% 0.0h -
28 ISRG 67 3🧊 -1.85% $17,929 $17,597 4 50% - -$332 -0.0% 0.0h -
29 V 39 -1.86% $12,929 $12,689 1 0% - -$240 -0.0% 0.0h -
30 ABBV 62 3🧊 -1.89% $15,075 $14,790 4 50% - -$285 -0.0% 0.0h -
31 KO 42 6🧊 -2.18% $12,770 $12,491 6 50% - -$278 -0.0% 0.0h -
32 XLK 77 10🧊 -2.38% $22,772 $22,230 4 75% - -$542 -0.0% 0.0h -
33 QQQ 71 -2.38% $18,174 $17,742 2 50% - -$433 -0.0% 0.0h -
34 MDT 25 -2.69% $11,431 $11,123 2 50% - -$307 -0.0% 0.0h -
35 MA 41 1🧊 -3.29% $13,154 $12,721 4 25% - -$433 -0.0% 0.0h -
36 ARKK 61 -4.32% $16,320 $15,615 1 0% - -$705 -0.0% 0.0h -
37 MSFT 65 3🧊 -5.89% $17,200 $16,187 6 33% - -$1,013 -0.0% 0.0h -
38 AMZN 74 0🧊 -6.63% $24,601 $22,970 3 33% - -$1,631 -0.0% 0.0h -
39 GILD 50 3🧊 -8.03% $14,897 $13,700 4 50% - -$1,196 -0.0% 0.0h -
40 META 63 3🧊 -8.30% $17,535 $16,079 6 33% - -$1,455 -0.0% 0.0h -
41 GOOGL 69 0🧊 -8.36% $25,273 $23,160 3 0% - -$2,113 -0.0% 0.0h -
42 COIN 7 12 -12.32% $10,506 $9,212 10 50% - -$1,294 -0.0% 0.0h -
43 PLTR 76 -12.72% $146,223 $127,624 1 0% - -$18,600 -0.0% 0.0h -
44 WMT -103.90% $9,618 $-375 NO ENTRY - - -$9,993 -0.0% 0.0h 1 Feb 20, 2026

👤 Personality

Disciplined, patient, unshakeable. Watches the market bleed without flinching. Knows that the deeper the dip, the sweeter the bounce. PDT-aware — uses forced multi-day holds as a feature, not a bug.